gemini-2.5-flash vs claude-sonnet-4-5
Side-by-side comparison of gemini-2.5-flash and claude-sonnet-4-5: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.
gemini-2.5-flash
Input / 1M
$0.30
Output / 1M
$2.50
Context
1.0M
Model ID
google/gemini-2.5-flash
claude-sonnet-4-5
Input / 1M
$3.00
Output / 1M
$15.00
Context
1M
Model ID
vertex/claude-sonnet-4-5
Pricing & specifications
| gemini-2.5-flash | claude-sonnet-4-5 | |
|---|---|---|
| Input price / 1M | $0.30 | $3.00 |
| Output price / 1M | $2.50 | $15.00 |
| Context window | 1.0M tokens | 1M tokens |
| Max output | 66K tokens | 64K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | N/A | N/A |
| Prompt caching | Yes | Yes |
| Computer use | N/A | Yes |
| Provider | Google Gemini API | Google Vertex AI |
Questions people ask
Is gemini-2.5-flash better than claude-sonnet-4-5?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper, gemini-2.5-flash or claude-sonnet-4-5?
gemini-2.5-flash is cheaper. gemini-2.5-flash costs $0.30/$2.50 per 1M input/output tokens, while claude-sonnet-4-5 costs $3.00/$15.00.
Can I use gemini-2.5-flash and claude-sonnet-4-5 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "google/gemini-2.5-flash" and "vertex/claude-sonnet-4-5", no other code changes needed.
What are the context windows?
gemini-2.5-flash supports up to 1.0M tokens of context. claude-sonnet-4-5 supports up to 1M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.
Switch between gemini-2.5-flash and claude-sonnet-4-5 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.